Extended date/time format (EDTF) in the digital public library of America's metadata: Exploratory analysis

Zavalina, Oksana L.; Phillips, Mark Edward; Alemneh, Daniel Gelaw; Tarver, Hannah; Kizhakkethil, Priya

doi:10.1002/pra2.2015.145052010066

Cited by 7 publications

(4 citation statements)

References 11 publications

(13 reference statements)

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“…Research using these large aggregations has included a number of quantitative analysis studies (Eklund et al , 2009; Greenberg, 2001; Tarver et al , 2015; Ward, 2003; Zavalina et al , 2016) to assess particular quality aspects. Generally, these aspects report on field usage (Shreeves et al , 2005) or evaluation of values within a particular field, such as the Dublin Core subject (Harper, 2016; Tarver et al , 2015) or date fields (Zavalina et al , 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the use of metadata record graphs to analyze subject headings in the digital public library of America

Phillips

Tarver

2021

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Purpose This study furthers metadata quality research by providing complementary network-based metrics and insights to analyze metadata records and identify areas for improvement. Design/methodology/approach Metadata record graphs apply network analysis to metadata field values; this study evaluates the interconnectedness of subjects within each Hub aggregated into the Digital Public Library of America. It also reviews the effects of NACO normalization – simulating revision of values for consistency – and breaking up pre-coordinated subject headings – to simulate applying the Faceted Application of Subject Terminology to Library of Congress Subject Headings. Findings Network statistics complement count- or value-based metrics by providing context related to the number of records a user might actually find starting from one item and moving to others via shared subject values. Additionally, connectivity increases through the normalization of values to correct or adjust for formatting differences or by breaking pre-coordinated subject strings into separate topics. Research limitations/implications This analysis focuses on exact-string matches, which is the lowest-common denominator for searching, although many search engines and digital library indexes may use less stringent matching methods. In terms of practical implications for evaluating or improving subjects in metadata, the normalization components demonstrate where resources may be most effectively allocated for these activities (depending on a collection). Originality/value Although the individual components of this research are not particularly novel, network analysis has not generally been applied to metadata analysis. This research furthers previous studies related to metadata quality analysis of aggregations and digital collections in general.

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Section: Literature Reviewmentioning

confidence: 99%

Investigating the use of metadata record graphs to analyze subject headings in the digital public library of America

Phillips

Tarver

2021

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“…Some projects have applied metadata quality metrics, particularly those related to completeness -the third most important metadata quality criterion (Park, 2009) -into production systems. These projects include, for example, those presented in Zavalina, Alemneh, Kizhakkethil, Phillips and Tarver, 2015;Király and Büchler, 2018, etc. Aggregations that bring together metadata from different sources inevitably face problems with metadata quality, and because of this, evaluation of metadata gains more and more importance (Hillmann, 2008). Thus, several studies, in their analysis of large collections of metadata, focused on counting instances of data values in metadata and then performing standard descriptive statistics on these counts to better understand collections in an aggregated environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the utility of metadata record graphs and network analysis for metadata quality evaluation and augmentation

Phillips

Zavalina

Tarver

2020

IJMSO

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Our study explores the possible uses and effectiveness of network analysis, including Metadata Record Graphs, for evaluating collections of metadata records at scale. We present the results of an experiment applying these methods to records in the University of North Texas (UNT) Digital Library and two sub-collections of different compositions: the UNT Scholarly Works collection, which functions as an institutional repository, and a collection of architectural slide images. The data includes count-and value-based statistics with network metrics for every Dublin Core element in each set. The study finds that network analysis provides useful information that supplements other metrics, for example by identifying records that are completely unconnected to other items through the subject, creator, or other field values. Additionally, network density may help managers identify collections or records that could benefit from enhancement. We also discuss the constraints of these metrics and suggest possible future applications.

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“…At the time of this research, there were 43 hubs in the DPLA that had contributed between 4,500 and 13 million metadata records to the aggregation. This analysis complements existing research with the DPLA metadata (Harper, 2016;Tarver, Phillips, et al, 2015;O. L. Zavalina, Alemneh, et al, 2015) which provides a large-scale collection of records for understanding the makeup and aggregate patterns in large metadata aggregations.…”

Section: Stagementioning

confidence: 70%

“…This method usually involves several types of analysis, including the aggregation of records to calculate the different elements that are being used across metadata records or the values for the different elements and how they are distributed across records. In some situations researchers have approached the records as a whole, while in other situations a single element or field such as the Dublin Core subject or date element in a metadata aggregation like the Digital Public Library of America were analyzed (Tarver, Phillips, et al, 2015;O. L. Zavalina, Alemneh, et al, 2015).…”

Section: Metadata Quality and Assessmentmentioning

confidence: 99%

Exploring the Use of Metadata Record Graphs for Metadata Assessment

Phillips

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Cultural heritage institutions, including galleries, libraries, museums, and archives are increasingly digitizing physical items and collecting born-digital items and making these resources available on the Web. Metadata plays a vital role in the discovery and management of these collections. Existing frameworks to identify and address deficiencies in metadata rely heavily on count and data-value based metrics that are calculated over aggregations of descriptive metadata. There has been little research into the use of traditional network analysis to investigate the connections between metadata records based on shared data values in metadata fields such as subject or creator. This study introduces metadata record graphs as a mechanism to generate network-based statistics to support analysis of metadata. These graphs are constructed with the metadata records as the nodes and shared metadata field values as the edges in the network. By analyzing metadata record graphs with algorithms and tools common to the field of network analysis, metadata managers can develop a new understanding of their metadata that is often impossible to generate from count and data-value based statistics alone. This study tested application of metadata record graphs to analysis of metadata collections of increasing size, complexity, and interconnectedness in a series of three related stages. The findings of this research indicate effectiveness of this new method, identify network algorithms that are useful for analyzing descriptive metadata and suggest methods and practices for future implementations of this technique.

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Extended date/time format (EDTF) in the digital public library of America's metadata: Exploratory analysis

Cited by 7 publications

References 11 publications

Investigating the use of metadata record graphs to analyze subject headings in the digital public library of America

Investigating the use of metadata record graphs to analyze subject headings in the digital public library of America

Exploring the utility of metadata record graphs and network analysis for metadata quality evaluation and augmentation

Exploring the Use of Metadata Record Graphs for Metadata Assessment

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